Python Backend Development

Production Python, done properly

We have been building Python backends since before Django had async support. Today we work with the latest Django 6.0 async views, Django REST Framework, Flask with async extensions, and everything in between. We build APIs that are fast, maintainable, and testable — not a collection of shortcuts held together by hope.

What we deliver

• Async Django 6.0 REST APIs with full DRF serialisation and authentication
• High-throughput Flask microservices and background job queues with Celery
• PostgreSQL schema design, query optimisation, and migration management
• Redis caching, session management, and pub/sub patterns
• RabbitMQ and SQS message-queue architecture for event-driven systems
• Web crawlers and scrapers with Scrapy for data acquisition
• PDF data extraction with automated parsing pipelines
• Legacy Python codebase refactoring and performance optimisation

Testing and quality

Every project ships with a PyTest test suite, not an afterthought. We have migrated large legacy test suites from unittest to PyTest and reduced 1,000-test run times from 8 minutes to under 3 using CircleCI dependency caching and parallel test databases. CI/CD pipelines — GitHub Actions or CircleCI — are configured from the start.

Tech stack

Django, Flask, DRF, PostgreSQL, Redis, RabbitMQ, Celery, Mailgun, Pandas, Sentry, Scrapy, PDFMiner, PyTest, Black, Ruff, Docker, CircleCI, GitHub Actions.